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Streamlit app for "Honey, I broke the PyTorch model" - Talk @ PyCon & PyData 2023

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Honey, I broke the PyTorch model

🍯😊⛏️🐍🔥🧮

Talk at PyCon.DE & PyData Berlin 2023

alt text

Are you ready to lift the veil from your broken PyTorch model and prevent it from ever breaking again? This presentation covers strategies to

  1. Create synthetic data for your custom ML model and
  2. Setup an adequate test suite to speed up your ML dev process

To run the streamlit app, follow the steps below:

1. Set-up

Activate the poetry environment

poetry shell

and run the presentation

streamlit run Home.py

The presentation should now be available in a new browser tab

alt text

2. PyTorch examples

All PyTorch code is contained in pages/torch_examples

3. Sources & further reading

Testing in ML

Post-training checks

For other bugs and better performance

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Streamlit app for "Honey, I broke the PyTorch model" - Talk @ PyCon & PyData 2023

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